Triple

T3352943
Position Surface form Disambiguated ID Type / Status
Subject Hannibal, Missouri E70538 entity
Predicate county P75 FINISHED
Object Marion County E24613 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Marion County | Statement: [Hannibal, Missouri, county, Marion County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marion County
Context triple: [Hannibal, Missouri, county, Marion County]
  • A. Marion County chosen
    Marion County is a county in northeastern Missouri known for including the historic Mississippi River city of Hannibal, boyhood home of author Mark Twain.
  • B. Marion County
    Marion County is a rural county in west-central Georgia known for its small communities, agricultural landscape, and location along key east–west transportation routes.
  • C. Marion County
    Marion County is a rural county in northwestern Alabama known for its small towns, forests, and part of the Bankhead National Forest region.
  • D. Marion County
    Marion County is a rural county in central Kentucky known for its small communities, agricultural landscape, and location within the state's Bluegrass region.
  • E. Marion County
    Marion County is a county in the U.S. state of Iowa, known for including the city of Pella and for its mix of agricultural communities and small towns.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb23ec53881908a04c7f784fe8c43 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b73c409081909c583019d7ec1d4a completed March 14, 2026, 7:30 p.m.
Created at: March 8, 2026, 3:13 p.m.